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Knowledge Distillation in Object Detection: A Survey from CNN to Transformer. [PDF]
Shehzadi T +5 more
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Porous Organic Cages for CO2 Capture and Confined Reduction
Porous organic cages (POCs) enable the coupling of CO2 capture and conversion through the interplay of molecular structure and solid‐state organization. Beyond intrinsic cavities, packing‐dependent pore accessibility and mass transport govern local CO2 concentration and catalytic performance, linking adsorption to reactivity in integrated capture ...
Valeria Amendola, Sonia La Cognata
wiley +1 more source
Cross-Architecture Knowledge Distillation for Histopathological Image Analysis. [PDF]
Boudissa S +3 more
europepmc +1 more source
Systematic review of trends in deep learning for UAV cybersecurity. [PDF]
Tariq U, Ahanger TA, Ahmed I.
europepmc +1 more source
CSWin-MDKDNet: cross-shaped window network with multi-dimensional fusion and knowledge distillation for medical image segmentation. [PDF]
Cui G +8 more
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A Multi-Teacher Knowledge Distillation Framework for Enhancing the Robustness of Automated Sperm Morphology Assessment. [PDF]
Tutay OE +4 more
europepmc +1 more source
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Self-Distillation for Few-Shot Image Captioning
2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021The development of large-scale image-captioning datasets is expensive, while the abundance of unpaired images and text corpus can potentially help reduce the efforts of manual annotation. In this paper, we study the few-shot image captioning problem that only requires a small amount of annotated image-caption pairs.
Xianyu Chen +2 more
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